{"id":"W4233927087","doi":"10.32920/ryerson.14644179","title":"Using Calibrated Simulation to Quantify the Energy Savings From Residential Passive Solar Design in Canada","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Building Energy and Comfort Optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Lawrence Berkeley National Laboratory; Natural Resources Canada; U.S. Department of Energy","keywords":"Passive solar building design; Glazing; Environmental science; Passive house; Low-energy house; Thermal mass; Solar energy; Thermal; Building energy simulation; Energy consumption; Meteorology; Simulation; Engineering; Efficient energy use; Civil engineering; Energy performance; Geography; Electrical engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003347544,0.0006807438,0.0003677122,0.0004996653,0.0007039436,0.0008112376,0.0008519779,0.0004337179,0.001935487],"category_scores_gemma":[0.000853804,0.0003440921,0.0004793534,0.001540271,0.0004369427,0.0003720144,0.0002417859,0.0004050139,0.000153051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01727123,"about_ca_system_score_gemma":0.006445101,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9112531,"about_ca_topic_score_gemma":0.9129525,"domain_scores_codex":[0.9997163,0.000038102,0.000007560202,0.00004056273,0.0001086273,0.00008894305],"domain_scores_gemma":[0.999652,0.00008925077,0.00002272623,0.00002605227,0.000192278,0.00001751539],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0000449237,0.00001919648,0.002474492,0.00001491139,0.000009076685,0.00002100934,0.00001395103,0.9942439,0.000630968,0.0004437751,0.0001963797,0.001887383],"study_design_scores_gemma":[0.00003144156,0.00006453315,0.007938808,0.000006767484,0.0000205196,0.00001201494,0.00008225345,0.9875321,0.002971815,0.0002312908,0.001085585,0.00002290445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9765167,0.0001252422,0.005426095,0.00006425054,0.000009182359,0.0000554241,0.002273373,0.0001394504,0.01539035],"genre_scores_gemma":[0.9956264,0.0000838586,0.001981254,0.00001039928,6.903074e-7,0.00001736208,0.0006884575,0.00001743656,0.001574081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08874691,"threshold_uncertainty_score":0.178539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03214678408775189,"score_gpt":0.2328539975797802,"score_spread":0.2007072134920283,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}